Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
scards_pond is a lake	1111	06-jul-2018	100.0
aye_aye is a vertebrate	1112	24-jul-2018	91.7
spring_boost_walking_shoes is a kind of clothing	1111	06-jul-2018	100.0
centre_for_contemporary_photography is a museum	1111	06-jul-2018	100.0
edward_moore is a scientist	1111	06-jul-2018	91.3
cricket is a sport with fans in the country _uk	1116	12-sep-2018	100.0
brewers participated in the event series	1112	24-jul-2018	100.0
spiders is an animal that is a kind of invertebrates	1111	06-jul-2018	99.7
mcgrady is an athlete who injured his/her back	1115	03-sep-2018	100.0
ios_apps competes with the company responsible for nokia_lumia_525_vs__lumia_720_specs_and_price_comparison_in_australia	1114	25-aug-2018	100.0